Sr. Staff Systems Engineer, Perception-Planner Risk

Highlights

• Define quantitative safety risk methods for sensing and perception systems.
• Assess behavioral safety risk for crowds, floods, and degraded sensing.
• Prototype workflows linking perception evaluation to end-to-end risk.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

A quantitative systems thinker with deep safety-critical experience who thrives leading complex, cross-functional efforts and translating rigorous analysis into trusted autonomous driving decisions.

Requirements

• Bachelor's or higher in computer science, math, physics, engineering or related field
• 10+ years engineering experience delivering high-stakes technical roadmaps
• Experience using AI productivity tools for analysis and workflow development
• Proficiency in vehicular robotics development or evaluation
• Software development in Python or C++
• Statistical or predictive modeling and experimental design
• Deep knowledge in at least two: ML perception, risk estimation with simulators, systems engineering V&V
• Track record leading complex safety-critical projects with cross-functional accountability
• Excellent verbal and written communication and ability to manage by influence